Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

Search

Type in a keyword to search

On page 9 showing 161 ~ 180 out of 204 results
Snippet view Table view Download 204 Result(s)
Click the to add this resource to a Collection
  • RRID:SCR_022994

    This resource has 1+ mentions.

https://github.com/parklab/NGSCheckMate

Software package for validating sample identity in next generation sequencing studies within and across data types. Used for identifying next generation sequencing data files from the same individual. Used for checking sample matching for NGS data.

Proper citation: NGSCheckMate (RRID:SCR_022994) Copy   


http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03255

Data set that looked at religion, self-rated health, depression, and psychological well-being in a sample of older Blacks and older Whites (aged 65 and over) within the United States. Questions were asked regarding religious status, activities, and beliefs among those who currently practice the Christian faith, those who used to be Christian but are not now, and those who have never been associated with any religion during their lifetimes. Demographic variables include age, race, sex, education, and income. Wave II was collected in 2004 and reinterviewed 1,024 respondents. There were 75 respondents who refused to participate, 112 who could not be located, 70 that were too ill for participation, 11 who had moved to nursing homes and 208 were deceased. * Dates of Study: 2001- 2004 * Study Features: Longitudinal, Minority Oversample * Sample Size: 1,500

Proper citation: Religion Aging and Health Survey (RRID:SCR_003625) Copy   


http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00158

Data set from an ongoing, longitudinal-sequential study of adult-cognitive development, which began in 1956, that focuses on individual differences in age-related changes and differences across cohorts. The general purpose of the study is to examine the changes in intelligence and various abilities throughout adulthood. The data provide a normative base to determine the ages of detectable decrements in ability and the magnitudes of the decrements. The study also seeks to examine patterns of generational differences and age-related differences and to determine the effects of educational intervention on intellectual decline. This study is a mixed cross-sectional, longitudinal, and time-lag design. Included are family studies of cognitive similarity, prospective studies of early signs of dementia via psychological and genetic markers, as well as the investigation of personality and demographic variables that affect cognitive change in adults from young adulthood to advanced old age. Questionnaire topics include health behavior, behavioral rigidity, family environment, Life Complexity Inventory, CES-D Depression, and cognitive and neuropsychology batteries. Group Health Cooperative of Puget Sound Medical Records and Pharmacy Records. * Dates of Study: 1956-Present * Study Features: Longitudinal * Sample Size: 6,000+

Proper citation: Seattle Longitudinal Study (RRID:SCR_003654) Copy   


http://cph.georgetown.edu/taiwan.html

Data sets of information regarding the health and well-being of older persons in Taiwan (from 2000 and 2006), in particular the relationship between life challenges and mental and physical health, the impact of social environment on the health and well-being of the elderly, and biological markers of health and stress. The study collected self-reports of physical, psychological, and social well-being, plus extensive clinical data based on medical examinations and laboratory analyses. Examination of health outcomes included chronic illnesses, functional status, psychological well-being, and cognitive function. Questions regarding life challenges focused on perceived stress, economic difficulties, security and safety, and the consequences of a major earthquake. Biological markers were used to identify cardiovascular risk factors, metabolic process measures, immune-system activity, the hypothalamic-pituitary adrenal axis, and sympathetic nervous system activity. The study design consists of face-to-face interviews with participants drawn from a random sub-sample of participants from 27 PSUs from the 1999 Survey of Health and Living Status of the Middle Aged and Elderly in Taiwan. Hospital visits and blood and urine specimens also were collected. A second wave of SEBAS was conducted in 2006 using a similar protocol to SEBAS 2000, but with the addition of performance assessments conducted by the interviewers at the end of the home interview. * Dates of Study: -2000, 2006 * Study Features: Longitudinal, International, Anthropometric Measures * Sample Size: 27 PSUs

Proper citation: Social Environment and Biomarkers of Aging Study in Taiwan (RRID:SCR_003704) Copy   


  • RRID:SCR_024713

    This resource has 1+ mentions.

https://masst.gnps2.org/microbemasst/

Web taxonomically informed mass spectrometry search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging database of over 60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns.

Proper citation: microbeMASST (RRID:SCR_024713) Copy   


http://www.nitrc.org/projects/frats/

Software for the analysis of multiple diffusion properties along fiber bundle as functions in an infinite dimensional space and their association with a set of covariates of interest, such as age, diagnostic status and gender, in real applications. The resulting analysis pipeline can be used for understanding normal brain development, the neural bases of neuropsychiatric disorders, and the joint effects of environmental and genetic factors on white matter fiber bundles.

Proper citation: Functional Regression Analysis of DTI Tract Statistics (RRID:SCR_002293) Copy   


http://www.nitrc.org/projects/jist/

A native Java-based imaging processing environment similar to the ITK/VTK paradigm. Initially developed as an extension to MIPAV (CIT, NIH, Bethesda, MD), the JIST processing infrastructure provides automated GUI generation for application plug-ins, graphical layout tools, and command line interfaces. This repository maintains the current multi-institutional JIST development tree and is recommended for public use and extension. JIST was originally developed at IACL and MedIC (Johns Hopkins University) and is now also supported by MASI (Vanderbilt University).

Proper citation: JIST: Java Image Science Toolkit (RRID:SCR_008887) Copy   


http://www.swanrepository.com/

The SWAN Repository is the biologic specimen bank of the Study of Women''s Health Across the Nation (SWAN). SWAN is a National Institutes of Health funded, multi-site, longitudinal study of the natural history of the midlife including the menopausal transition. The overall goal of SWAN is to describe the chronology of the biological and psychosocial characteristics that occur during midlife and the menopausal transition. In addition, SWAN is describing the effect of the transition and its associated characteristics on subsequent health and risk factors for age related chronic diseases. SWAN was designed to collect and analyze information on demographics, health and social characteristics, reproductive history, pre-existing illness, physical activity, and health practices of mid-life women in multi-ethnic, community-based samples; elucidate factors that differentiate symptomatic from asymptomatic women during the menopausal transition; identify and utilize appropriate markers of the aging of the ovarian-hypothalamo-pituitary axis and relate these markers to alterations in menstrual cycle characteristics as women approach and traverse the menopause; and explain factors that differentiate women most susceptible to long-term pathophysiological consequences of ovarian hormone deficiency from those who are protected. The biological specimen bank can also be linked by identification number (not by participant name) to data collected in the Core SWAN protocol. The specimen bank can also be linked with data from the Daily Hormone Study as well as menstrual calendars. Types of data include: epidemiological data, psychosocial data, physical measures, as well as data from assays (endocrine and cardiovascular information). SWAN has seven clinical study sites located in six states, two in California, and one each in Chicago, Boston, Detroit area, northern New Jersey and Pittsburgh. The SWAN cohort was recruited in 1996/7 and consists of 3302 African American, Caucasian, Chinese American, Hispanic and Japanese American women. Cohort members complete an annual clinic visit. The Core Repository includes over 1.8 million samples from the first 11 years of specimen collection. This includes samples from annual visits and samples from the Daily Hormone Sub-study (DHS). During an Annual visit, participants provide materials for up to 24-28 aliquots to be incorporated into the Repository. During a DHS visit, a participant provides 6 serum samples and between ~30-50 urine samples depending upon the length of her menstrual cycle. DHS participants (887) provide urine samples collected throughout one menstrual cycle each year. A typical DHS collection consists of a blood draw plus collection of 10 ml of urine daily throughout the month-long menstrual cycle, up to 50 days. DHS Repository samples consist of 6 serum samples and 30 5 ml urine samples. Specimen collection occurs from the time of menstrual bleed to the subsequent menstrual bleed or up to 50 days, whichever come first. The current DHS collection consists of more than 200,000 specimens stored in 5 ml vials. The SWAN DNA Repository currently contains extracted diluted DNA from 1538 SWAN participants. B-lymphocytes were transformed with Epstein Barr virus, and the resulting transformed b-cells aliquoted. Information about using these transformed cells for genomic or proteomic studies is available. DNA has been extracted from one aliquot (per woman) of the immortalized cells using the Puregene system. There was an average DNA yield of 217.0 mg/mL and a A260/A280 average ratio of 1.86. This DNA, in turn, has been aliquoted into 20ng/1 ml units for release by the DNA Repository. Samples are free of personal identifiers and collected under consents that allow a broad range of activities related to women''s health. All of these samples are available to researchers who wish to study the midlife and menopausal transition. Scientists who use these specimens can also request data collected during a participant''s annual visit including medical and health history, psychosocial measures, biological measures and anthropometry.

Proper citation: Study of Womens Health Across the Nation (SWAN) Repository (RRID:SCR_008810) Copy   


http://www.mouse-genome.bcm.tmc.edu/ENU/MutagenesisProj.asp

THIS RESOURCE IS NO LONGER IN SERVICE. For updated mutant information, please visit MMRRC or The Jackson Laboratory. Produces, characterizes, and distributes mutant mouse strains with defects in embryonic and postembryonic development. The goal of the ENU Mutagenesis project III is to determine the function of genes on mouse Chromosome 11 by saturating the chromosome with recessive mutations. The distal 40 cM of mouse Chr 11 exhibits linkage conservation with human Chromosome 17. We are using the chemical N-ethyl-N-nitrosourea (ENU) to saturate wild type chromosomes with point mutations. By determining the function of genes on a mouse chromosome, we can extrapolate to predict function on a human chromosome. We expect many of the new mutants to represent models of human diseases such as birth defects, patterning defects, growth and endocrine defects, neurological anomalies, and blood defects. Because many of the mutations we expect to isolate may be lethal or detrimental to the mice, we are using a unique approach to isolate mutations. This approach uses a balancer chromosome that is homozygous lethal and carries a dominant coat color marker to suppress recombination over a reasonable interval.

Proper citation: Mouse Mutagenesis Center for Developmental Defects (RRID:SCR_007321) Copy   


  • RRID:SCR_012734

    This resource has 500+ mentions.

http://www.grc.nia.nih.gov/

A research program of the NIA which focuses on neuroscience, aging biology, and translational gerontology. The central focus of the program's research is understanding age-related changes in physiology and the ability to adapt to environmental stress, and using that understanding to develop insight about the pathophysiology of age-related diseases. The IRP webpage provides access to other NIH resources such as the Biological Biochemical Image Database, the Bioinformatics Portal, and the Baltimore Longitudinal Study of Aging., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Intramural Research Program (RRID:SCR_012734) Copy   


  • RRID:SCR_012157

    This resource has 1+ mentions.

http://mrtools.mgh.harvard.edu/index.php/TBR

A tool for functional connectivity analysis of fcMRI data that maps functional data from individual sessions onto a priori spatial components from group level parcellations.

Proper citation: Template Based Rotation (RRID:SCR_012157) Copy   


  • RRID:SCR_010621

    This resource has 50+ mentions.

https://github.com/CBL-ORION/orion

Project to develop tools that explore single neuron function via sophisticated image analysis. ORION software bridges advanced optical imaging and compartmental modeling of neuronal function by rapidly, accurately, and robustly generating, from structural image data, a cylindrical morphology model suitable for simulating neuronal function.

Proper citation: ORION (RRID:SCR_010621) Copy   


http://www.nihpromis.org/

Repository of person centered measures that evaluates and monitors physical, mental, and social health in adults and children.

Proper citation: Patient-Reported Outcomes Measurement Information System (RRID:SCR_004718) Copy   


  • RRID:SCR_005966

    This resource has 1+ mentions.

http://ki.se/en/meb/satsa-the-swedish-adoptiontwin-study-of-aging

Longitudinal twin study to understand individual differences in aging with corresponding data and biological samples. The twin design and the inclusion of twins reared apart makes it possible to study the importance of genetic and environmental factors that may underlie differing aging outcomes. Further, the broad spectrum of biological, psychological, and social domains assessed across the life span makes it possible to study patterns of change within and across domains and how these predict health and diseases of aging. The study is comprised of several longitudinal components including, a comprehensive questionnaire that was sent to all twins in the Swedish Twin Registry who were separated at an early age and reared apart and a control sample of twins reared together. The questionnaires include items concerning rearing, family, adult, and working environment, health status, health related behaviors (e.g. alcohol, tobacco, and dietary habits) as well as relationships, and personality measures. The questionnaires were sent again at 3 year intervals in 1987, 1990, 1993 and after a break again in 2004, 2007, and 2010. Thus far more than 2,000 twins have responded to at least one of the seven questionnaire assessments conducted between 1984 and 2010. Additionally there is information about midlife life style factors from the Swedish Twin Registry that were collected about twenty years before SATSA started. In the second component a subsample of 861 individuals have participated in at least one wave of in-person testing (IPT). The first IPT started in 1986 and since then eight IPTs have been collected and the last wave will be collected during 2012-2013. The IPT includes a health examination, structured interviews, tests of functional capacity, and memory and thinking abilities. To date, over 76% of the sample has participated in 3 or more measurement waves. At IPT9 a third component was added to SATSA, a measure of day-to-day fluctuations in memory and thinking abilities, and emotions. Information about social interactions is also collected. After the visit by the research nurses the twins fill out the day-to-day booklet during the next five days. This procedure will be repeated in IPT10. This will add information about small and short-term changes and more changes are supposed to indicate the beginning of poor health. Data from SATSA can be used to study various aspects of aging. For example, the relative importance of genetic and environmental factors for individual differences in aging especially in cognitive and physical domains has been studied. A further main focus is to study changes within and across domains and which genetic and life style factors predict these changes. Given the wide spectrum of data from measured genes to social relationships collected over more than two decades they dare to say that SATSA is a unique study, with the possibility to answer many questions within gerontology and geriatrics. Types of samples * Serum * DNA Number of sample donors: 674 (June 2010)

Proper citation: KI Biobank - SATSA (RRID:SCR_005966) Copy   


http://www.census.gov/did/www/nlms/

A database based on a random sample of the noninstitutionalized population of the United States, developed for the purpose of studying the effects of demographic and socio-economic characteristics on differentials in mortality rates. It consists of data from 26 U.S. Current Population Surveys (CPS) cohorts, annual Social and Economic Supplements, and the 1980 Census cohort, combined with death certificate information to identify mortality status and cause of death covering the time interval, 1979 to 1998. The Current Population Surveys are March Supplements selected from the time period from March 1973 to March 1998. The NLMS routinely links geographical and demographic information from Census Bureau surveys and censuses to the NLMS database, and other available sources upon request. The Census Bureau and CMS have approved the linkage protocol and data acquisition is currently underway. The plan for the NLMS is to link information on mortality to the NLMS every two years from 1998 through 2006 with research on the resulting database to continue, at least, through 2009. The NLMS will continue to incorporate data from the yearly Annual Social and Economic Supplement into the study as the data become available. Based on the expected size of the Annual Social and Economic Supplements to be conducted, the expected number of deaths to be added to the NLMS through the updating process will increase the mortality content of the study to nearly 500,000 cases out of a total number of approximately 3.3 million records. This effort would also include expanding the NLMS population base by incorporating new March Supplement Current Population Survey data into the study as they become available. Linkages to the SEER and CMS datasets are also available. Data Availability: Due to the confidential nature of the data used in the NLMS, the public use dataset consists of a reduced number of CPS cohorts with a fixed follow-up period of five years. NIA does not make the data available directly. Research access to the entire NLMS database can be obtained through the NIA program contact listed. Interested investigators should email the NIA contact and send in a one page prospectus of the proposed project. NIA will approve projects based on their relevance to NIA/BSR''s areas of emphasis. Approved projects are then assigned to NLMS statisticians at the Census Bureau who work directly with the researcher to interface with the database. A modified version of the public use data files is available also through the Census restricted Data Centers. However, since the database is quite complex, many investigators have found that the most efficient way to access it is through the Census programmers. * Dates of Study: 1973-2009 * Study Features: Longitudinal * Sample Size: ~3.3 Million Link: *ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00134

Proper citation: National Longitudinal Mortality Study (RRID:SCR_008946) Copy   


http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/04076/version/1

A dataset of a survey of intergenerational relations among 2,044 adult members of some 300 three- (and later four-) generation California families: grandparents (then in their sixties), middle-aged parents (then in their early forties), grandchildren (then aged 16 to 26), and later the great-grandchildren as they turn age 16, and further surveys in 1985, 1988, 1991, 1994, 1997 and 2001. This first fully-elaborated generation-sequential design makes it possible to compare sets of parents and adult-children at the same age across different historical periods and addresses the following objectives: # To track life-course trajectories of family intergenerational solidarity and conflict over three decades of adulthood, and across successive generations of family members; # To identify how intergenerational solidarity, and conflict influence the well-being of family members throughout the adult life course and across successive generations; # To chart the effects of socio-historical change on families, intergenerational relationships, and individual life-course development during the past three decades; # To examine women''s roles and relationships in multigenerational families over 30 years of rapid change in the social trajectories of women''s lives. These data can extend understanding of the complex interplay among macro-social change, family functioning, and individual well-being over the adult life-course and across successive generations. Data Availability: Data from 1971-1997 are available through ICPSR as Study number 4076. * Dates of Study: 1971-2001 * Study Features: Longitudinal * Sample Size: ** 345 Three-generational families ** 2,044 Adults (1971 baseline) Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04076

Proper citation: Longitudinal Study of Generations (RRID:SCR_008939) Copy   


http://www.rand.org/labor/FLS/MFLS.html

A follow-up of the 1976-1977 MFLS-1 dataset covering the respondents'' and spouses'' marriage, fertility, employment, education and migration histories as well as extensive information on the household economy. The MFLS-2 contains a supplementary sample of persons age 50 or older. The data permit analysis of intergenerational transfers to the elderly and their covariates; the living arrangements of the elderly; the health of the elderly; labor supply, occupation and retirement status of the elderly; and their migration patterns. This supplement fills the gap left by many standard sources of demographic and economic information about Third World populations, such as fertility surveys and labor force surveys, which effectively exclude the elderly. Field work for MFLS-2 began in Aug. 1988 and was completed in Jan. 1989. The survey was fielded in four samples: * The Panel Sample Women who were the primary respondents to the MFLS-1, who at that time (1976) were ever-married women aged 50 or younger. There are 926 panel households in MFLS-2, a follow-up rate of 72%. * The Children Sample Children aged 18 or older in 1988 of the women interviewed as primary respondents for MFLS-1; i.e. adult children of the women eligible for the MFLS-2 Panel sample. There were interviews with one child, selected at random, inside the Panel household and two children, selected at random, living elsewhere in Peninsular Malaysia. There are 1,136 respondents in the Children sample. * The New Sample A sample of households with a woman aged 18-49 (regardless of her marital status) or an ever-married woman under age 18. There are 2,184 respondents in MFLS-2 New Sample. * The Senior Sample Selected households with a person age 50 or over. There are 1,357 respondents in the Senior Sample. Data Availability: The MFLS-2 (and MFLS-1) data files and documentation are available on-line or from NACDA at ICPSR as Study No. 9805. * Dates of Study: 1988-1989 * Study Features: International * Sample Size: Seniors (aged 50+): 1,357 Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/09805

Proper citation: Second Malaysian Family Life Survey (RRID:SCR_008892) Copy   


http://www.nlsinfo.org/

A dataset that permits examination of health, economic, work, and retirement trajectories for a representative national sample of men from middle to old age. The original sample of 5,020 men, first interviewed in 1966, was re-interviewed periodically until 1983 under a contract with the US Department of Labor. The study provided a detailed longitudinal record of their labor market activity, health, financial status, family structure, and attitudes toward and experience in retirement. The NIA grant made possible a re-interview in 1990 with the surviving men and the widows (or other next-of-kin) of the decedents. The merging of the 1990 data includes death certificate information for the decedents, Blacks were over-represented in the original sample in a ratio of about three or four to one, resulting in about 500 surviving black men in the sample. Information on labor market activity, income, and assets also is available for a sample of about 1,350 widows, 90 percent of whom are between 60 and 89 years of age. This information can be linked to earlier data on the women''s health and work activity that was reported by their late husbands. Due to the original sample selection, other NLS cohorts contain wives and daughters of the older men. These other surveys also hold a wealth of detailed information on aging and retirement issues, especially on income transfers. * Dates of Study: 1966-1990 * Study Features: Longitudinal, Minority Oversamples * Sample Size: ** 1966: 5,020 men (baseline) ** 1990: 2,092 surviving men, 1,341 widows, 865 other next-of-kin Links: * BLS Website on NLS: http://www.bls.gov/nls/ * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04675

Proper citation: National Longitudinal Survey of Older Men (RRID:SCR_008947) Copy   


http://psidonline.isr.umich.edu/

Long-term longitudinal dataset with information on generational links and socioeconomic and health conditions of individuals over time. The central foci of the data are economic and demographic, with substantial detail on income sources and amounts, wealth, savings, employment, pensions, family composition changes, childbirth and marriage histories, and residential location. Over the life of the PSID, the NIA has funded supplements on wealth, health, parental health and long term care, housing, and the financial impact of illness, thus also making it possible to model retirement and residential mobility. Starting in 1999, much greater detail on specific health conditions and health care expenses is included for respondent and spouse. Other enhancements have included a question series about emotional distress (2001); the two stem questions from the Composite International Diagnostic Interview to assess symptoms of major depression (2003); a supplement on philanthropic giving and volunteering (2001-03); a question series on Internet and computer use (2003); linkage to the National Death Index with cause of death information for more than 4,000 individuals through the 1997 wave, updated for each subsequent wave; social and family history variables and GIS-linked environmental data; basic data on pension plans; event history calendar methodology to facilitate recall of employment spells (2001). The reporting unit is the family: single person living alone or sharing a household with other non-relatives; group of people related by blood, marriage, or adoption; unmarried couple living together in what appears to be a fairly permanent arrangement. Interviews were conducted annually from 1968 through 1997; biennial interviewing began in 1999. There is an oversample of Blacks (30%). Waves 1990 through 1995 included a 20% Hispanic oversample; within the Hispanic oversample, Cubans and Puerto Ricans were oversampled relative to Mexicans. All data from 1994 through 2001 are available as public release files; prior waves can be obtained in archive versions. The special files with weights for families are also available. Restricted files include the Geocode Match File with information for 1968 through 2001, the 1968-2001 Death File, and the 1991 Medicare Claims File. * Dates of Study: 1968-2003 * Study Features: Longitudinal, Minority Oversampling * Sample Size: 65,000+ Links * ICPSR Series: http://www.icpsr.umich.edu/icpsrweb/ICPSR/series/00131 * ICPSR 1968-1999: Annual Core Data: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/07439 * ICPSR 1968-1999: Supplemental Files: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03202 * ICPSR 1989-1990: Latino Sample: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03203

Proper citation: Panel Study of Income Dynamics (RRID:SCR_008976) Copy   


  • RRID:SCR_008973

    This resource has 1+ mentions.

http://nis.princeton.edu/

Public use data set on new legal immigrants to the U.S. that can address scientific and policy questions about migration behavior and the impacts of migration. A survey pilot project, the NIS-P, was carried out in 1996 to inform the fielding and design of the full NIS. Baseline interviews were ultimately conducted with 1,127 adult immigrants. Sample members were interviewed at baseline, 6 months, and 12 months, with half of the sample also interviewed at three months. The first full cohort, NIS-2003, is based on a nationally representative sample of the electronic administrative records compiled for new immigrants by the US government. NIS-2003 sampled immigrants in the period May-November 2003. The geographic sampling design takes advantage of the natural clustering of immigrants. It includes all top 85 Metropolitan Statistical Areas (MSAs) and all top 38 counties, plus a random sample of other MSAs and counties. Interviews were conducted in respondents'' preferred languages. The baseline was multi-modal: 60% of adult interviews were administered by telephone; 40% were in-person. The baseline round was in the field from June 2003 to June 2004, and includes in the Adult Sample 8,573 respondents, 4,336 spouses, and 1,072 children aged 8-12. A follow-up was planned for 2007. Several modules of the NIS were designed to replicate sections of the continuing surveys of the US population that provide a natural comparison group. Questionnaire topics include Health (self-reports of conditions, symptoms, functional status, smoking and drinking history) and use/source/costs of health care services, depression, pain; background; (2) Background: Childhood history and living conditions, education, migration history, marital history, military history, fertility history, language skills, employment history in the US and foreign countries, social networks, religion; Family: Rosters of all children; for each, demographic attributes, education, current work status, migration, marital status and children; for some, summary indicators of childhood and current health, language ability; Economic: Sources and amounts of income, including wages, pensions, and government subsidies; type, value of assets and debts, financial assistance given/received to/from respondent from/to relatives, friends, employer, type of housing and ownership of consumable durables. * Dates of Study: 2003-2007 * Study Features: Longitudinal * Sample Size: 13,981

Proper citation: New Immigrant Survey (RRID:SCR_008973) Copy   



Can't find your Tool?

We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.

Can't find the RRID you're searching for? X
  1. Neuroscience Information Framework Resources

    Welcome to the NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.

  2. Navigation

    You are currently on the Community Resources tab looking through categories and sources that NIF has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.

  3. Logging in and Registering

    If you have an account on NIF then you can log in from here to get additional features in NIF such as Collections, Saved Searches, and managing Resources.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Save Your Search

    You can save any searches you perform for quick access to later from here.

  6. Query Expansion

    We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.

  7. Collections

    If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  8. Sources

    Here are the sources that were queried against in your search that you can investigate further.

  9. Categories

    Here are the categories present within NIF that you can filter your data on

  10. Subcategories

    Here are the subcategories present within this category that you can filter your data on

  11. Further Questions

    If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.

X